Top Tech Jobs & Startup Jobs in Romania

Own a portfolio of B2B customer accounts from onboarding through adoption, renewal, and expansion. Configure AI agent call flows, prompts, integrations, transfer rules, and notifications; launch and test customer implementations; manage escalations and follow-ups; communicate proactively by phone and email; identify churn risks, collect past-due revenue, close upsells, document recurring fixes, and surface new automation opportunities.

Conduct attacker-driven security research on Aave protocol changes, smart contracts, integrations, and critical dependencies. Review architecture and code before audits or deployment, identify exploitable protocol risks, contribute to AI-assisted security tooling, and translate findings into invariants, testing, monitoring, and incident-response improvements. Collaborate with engineers, auditors, and monitoring teams while communicating risk, severity, uncertainty, and trade-offs clearly.

Manage warm and cold leads in the Croatian market, win back ex-clients, present Jooble product, communicate via phone/email/WhatsApp, log interactions in Salesforce, analyze funnel, collect customer feedback, and meet individual sales targets.

Lead and mentor a globally distributed engineering team while contributing to coding, architecture, peer reviews, and technical decisions. Design and deliver scalable user-facing systems, promote CI/CD, testing, code quality, and DevOps practices, and improve engineering workflows. Collaborate with product, design, data, and AI specialists to shape roadmaps and integrate personalized learning capabilities. Manage engineers through regular one-to-ones, feedback, and career support.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Develop, extend, test, deploy, monitor, and support team-owned software products and databases. The role involves implementing features and user stories, designing solutions according to architectural and quality standards, optimizing secure functionality, improving the codebase, operating the platform, and providing technical training to global stakeholders.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.

Lead Salesforce data migrations by defining mapping, transformation, loading, reconciliation, and validation strategies. Extract, cleanse, deduplicate, and validate data; create source-to-target mappings; execute migrations using Data Loader, ETL tools, or APIs; perform testing and data quality checks; and support integrations with ERP, marketing, and data platforms.